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» On the Complexity of Model Expansion
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ICCV
2005
IEEE
15 years 10 months ago
Visual Learning Given Sparse Data of Unknown Complexity
This study addresses the problem of unsupervised visual learning. It examines existing popular model order selection criteria before proposes two novel criteria for improving visu...
Tao Xiang, Shaogang Gong
ICIP
2002
IEEE
16 years 6 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
DASFAA
2005
IEEE
136views Database» more  DASFAA 2005»
15 years 10 months ago
Distributed Intersection Join of Complex Interval Sequences
In many different application areas, e.g. space observation systems or engineering systems of world-wide operating companies, there is a need for an efficient distributed intersect...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...
ICCV
2003
IEEE
16 years 6 months ago
Improved Fast Gauss Transform and Efficient Kernel Density Estimation
Evaluating sums of multivariate Gaussians is a common computational task in computer vision and pattern recognition, including in the general and powerful kernel density estimatio...
Changjiang Yang, Ramani Duraiswami, Nail A. Gumero...
SACRYPT
2009
Springer
155views Cryptology» more  SACRYPT 2009»
15 years 11 months ago
Practical Collisions for SHAMATA-256
In this paper, we present a collision attack on the SHA-3 submission SHAMATA. SHAMATA is a stream cipher-like hash function design with components of the AES, and it is one of the ...
Sebastiaan Indesteege, Florian Mendel, Bart Prenee...